Consumption Response to Temporary Price Shock: Evidence from Singapore's Annual Sale Event

2017 ◽  
Author(s):  
Sumit Agarwal ◽  
Kang Mo Koo ◽  
Wenlan Qian
Keyword(s):  
Annual Sale ◽  
Price Shock

scholarly journals Monetary Transmission Channel, Oil Price Shock and the Manufacturing Sector in Nigeria

2019 ◽  
Vol 19 (1) ◽  
pp. 89-113
Author(s):  
Adeleke Omolade ◽  
Philip Nwosa ◽  
Harold Ngalawa
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Manufacturing Sector ◽  
Output Growth ◽  
Oil Price ◽  
Monetary Transmission ◽  
Oil Price Shock ◽  
Price Shock ◽  
The Exchange Rate

Abstract Research background: The need for diversification of the Nigerian economy has been emphasized and the manufacturing sector has a major role in this. Being an oil producing country, monetary policy is an important macroeconomic policy that has always been used to manage the influence of oil price shock on the manufacturing sector. Purpose: The study examines the relationship between oil price shock, the monetary transmission mechanism and manufacturing output growth in Nigeria. Research methodology: The study applied the structural vector auto regression (SVAR) modelling technique and a descriptive analysis. Results: The results of the study show that the exchange rate is mostly affected by the oil price shock, while the monetary policy instruments and inflation rate are also very responsive to the exchange rate shock. The manufacturing sector output growth has also been shown to be strongly affected by the inflation rate and monetary policy shocks. Novelty: The study has revealed the most effective channel via which oil price shocks affect manufacturing output. The exchange rate channel of the monetary policy transmission mechanism is the most significant channel through which oil price shock affects manufacturing output growth in Nigeria. This shows that effective management of the exchange rate policy via the appropriate monetary policy approach can be used to minimize the adverse effect of oil price shocks on Nigerian manufacturing output.

Identifying key industry factors of remanufacturing industry using grey incidence analysis

2016 ◽  
Vol 6 (3) ◽  
pp. 398-414 ◽  
Author(s):  
Wenjie Liu ◽  
Jing Zhang ◽  
Chenfan Wu ◽  
Xiangyun Chang
Keyword(s):  
Grey System Theory ◽  
Grey System ◽  
Annual Sale ◽  
Content Type ◽  
Building Area ◽  
Industry Characteristic ◽  
Grey Incidence Analysis ◽  
Incidence Analysis ◽  
Practical Implications ◽  
Key Industry

Purpose The purpose of this paper is to identify most favorable (or quasi-preferred) industry characteristics of remanufacturing industry and most favorable (or quasi-preferred) industry factors which have an effect on these characteristics so as to improve these factors. Design/methodology/approach Grey system theory has prominent advantage of using few data and uncertainty information to analyze many factors. Therefore, it is more suited for system analysis than traditional statistical analysis methods like regression analysis, variance analysis and principal component analysis, which require massive data, certain probability distribution in the data and few variant factors. So in this paper, grey incidence analysis method, which is an important part of grey system theory, is used to identify industry characteristics and key industry factor of remanufacturing industry in China and then put forward appropriate industrial policies and countermeasures to improve these industry factors. Findings According to the results of this study, it reveals that there are no most favorable industry characteristics and no most favorable industry factors in remanufacturing industry of China. “Annual sale of remanufacturing industry” is identified as quasi-preferred industry characteristic, and “total number of employees with master degree or above in remanufacturing enterprise” is identified as the quasi-preferred industry factor. “Total building area of remanufacturing enterprise” is referred as the most unfavorable industry factors. Practical implications Judging from the findings of this study, four practical implications are summarized as follows: “annual sale of remanufacturing industry” should be given great importance because it is a quasi-preferred industry characteristic. “Total number of employees with master degree or above in remanufacturing enterprise” and “total number of research institution and university participated in remanufacturing” should be further strengthened by establishing an industry-university-research institute collaboration network, due to the fact that they are the top two quasi-preferred industry factors. “Total investment of remanufacturing industry” and “total annual R&D expenditures” have not played their due role in improving remanufacturing industry, so they should be moderately controlled so as to reduce waste of investment. “Total building area of remanufacturing enterprise” must be strictly controlled because of its little impact on remanufacturing industry. Originality/value In this research, grey incidence analysis is applied to identify key industry factors of remanufacturing industry for the first time. It helps in finding industry factors which are in urgent need of improvement and assists in making appropriate industrial policies and countermeasures to improve them by studying relationships between industry characteristic and industry factors.

South Sudan may struggle to attract oil investment

2021 ◽  
Keyword(s):  
Foreign Direct Investment ◽  
Foreign Exchange ◽  
Direct Investment ◽  
Oil Price ◽  
Fiscal Year ◽  
Government Revenue ◽  
Content Type ◽  
Oil Price Shock ◽  
Price Shock ◽  
Almost All

Significance Crude oil is central to South Sudan’s economy, providing between 80% and 90% of government revenue and almost all export earnings. Last year’s oil price shock hit the economy hard and prompted two disbursements by the IMF under the Rapid Credit Facility (RCF) in November 2020 and April 2021. Impacts Net foreign direct investment (FDI) will turn positive in fiscal year (FY) 2020/21, following three years of outflows. The central bank’s weekly foreign exchange auctions will continue to reduce the gap between the official and parallel market rates. Following a contraction of around 4%, GDP is expected to grow modestly at 2-3% in FY 2021/22 and FY 2022/23.

The macroeconomic effects of increase and decrease in oil prices: evidences of asymmetric effects from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anver Chittangadan Sadath ◽  
Rajesh Herolli Acharya
Keyword(s):  
Negative Impact ◽  
Wholesale Price ◽  
Oil Prices ◽  
Petroleum Products ◽  
Oil Price ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Real Gdp ◽  
Oil Price Shock ◽  
Price Shock

Purpose The purpose of this paper is to assess whether oil price shocks emanating from oil price increase and decrease have a different impact on the macroeconomic activity. Design/methodology/approach This study conducts the empirical analysis using structural vector auto-regressive model on Indian data for the period from 1996 to 2017. This paper uses four key macroeconomic variables, namely, real gross domestic product (GDP), the real rate of interest, real money supply, wholesale price index inflation and various linear and non-linear measures of oil price shock. Findings Empirical results confirm that oil price shock has a significant impact on various macroeconomic variables used in the study. Specifically, shocks emanating from a decline in oil price have a stronger positive impact on real GDP, whereas, a shock due to the rise in oil price has a weaker negative impact on real GDP. Impulse responses confirm that shocks due to a decline in oil prices are long-lasting compared to similar shocks due to a rise in oil prices. Therefore, this study concludes that the macroeconomic impact of oil price shock is asymmetric in India. Originality/value This paper adds the following new insights: First, this paper presents a distinct relationship between the growth rate of oil price and GDP during increasing and decreasing phases of oil price to drive home the case for this study. Second, India has adopted crucial administrative initiatives such as deregulation of the market for petroleum products and the promotion of renewable energy during the study period. Finally, previous studies have revealed specific behavioral and economic features of people in India with respect to the demand for petroleum products. In light of these factors, this paper based on Indian experience would be justified.

Characteristics and Determinants of New Start-ups in Gujarat, India

2020 ◽  
Vol 1 (2) ◽  
pp. 1-25
Author(s):  
Ajay Kumar ◽  
Bhim Jyoti
Keyword(s):  
Sample Size ◽  
Regression Models ◽  
New Products ◽  
Small Sample ◽  
The Body ◽  
High Tech ◽  
Annual Sale ◽  
Factors Affecting ◽  
Start Up ◽  
Start Ups

Purpose: This study examines the relationship of socio-economic characteristics of start-ups with their size in Gujarat, India. It also assesses the determinants affecting the annual sale of start-ups. Methods: It includes primary information based on a survey of 120 founders of start-ups. Linear and semi-log linear regression models have been applied to assess the determinants of start-ups. Probit regression models have been considered to assess the factors affecting the annual sale of the start-ups. Results: Stage of start-up, the participation of founders in conferences, educational qualification, and new products launched by start-ups, professional connections of founders, source of funding, and support from incubator/accelerator/supporting organizations are found crucial determinants of start-up size in Gujarat. The annual sales of the start-ups are positively associated with stage of start-up, support from a mentor, team members, founder's academic qualification, and collaboration with national or international organizations, unskilled workers. Implications: Technology transfer and commercialization, development of new products, government regulations, the requirement of costumers, free rights for entrepreneurs, appropriate financial support for new entrepreneurs, transparency and clarity in government policies, the establishment of high-tech start-ups, and development of digital infrastructure, increase in R&D spending in research academia, and association of research institutions with entrepreneurs would be conducive to create an appropriate start-ups ecosystem and to reduce regional development disparities across Indian states. Subsequently, it would be helpful to increase sustainable development in India.  Originality: This study has used primary information of 120 founders of start-ups to assess the determinants, and the factors affecting annual sales of start-ups using the regression model in, Gujrat, India. Thus, it has an empirical contribution to the body of knowledge. Limitations: This study could not provide rational justifications on most factors that show an insignificant impact on start-ups due to the small sample size. Further research, therefore, may be considered to identify the association of start-up size with the variables using a large sample size in India.  

Sign in / Sign up

Export Citation Format

Share Document